Class  Description 

VARIMAModel 
An ARIMA(p, d, q) process, Y_{t}, is such that
\[
X_t = (1  L)^d Y_t
\]
where
L is the lag operator, d the order of difference,
X_{t} an ARMA(p, q) process, for which
\[
X_t = \mu + \Sigma \phi_i X_{ti} + \Sigma \theta_j \epsilon_{tj} + \epsilon_t,
\]
X_{t}, μ and ε_{t} are ndimensional
vectors.

VARIMASim 
This class simulates a multivariate ARIMA process.

VARIMAXModel 
The ARIMAX model (ARIMA model with eXogenous inputs) is a generalization of the ARIMA model by
incorporating exogenous variables.

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